Bayesian & Probabilistic

Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects AAAI 2026 Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support AAAI 2026 Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling CVPR 2026 Conditional neural control variates for variance reduction in Bayesian inverse problems UAI 2026 Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation AAAI 2026 Constrained Weighted Bayesian Bootstrap UAI 2026 Controllable Epistemic Sensitivity in Large Language Models: Probing, Benchmarking, and Adaptive Reasoning AAAI 2026 Covariate-dependent Hierarchical Dirichlet Processes JMLR 2026 Cross-Sectional Conditional Independence in Stationary Time Series: Graphical Equivalence and Completeness of Collider Separation CLeaR 2026 CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models CVPR 2026 CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 2026 CUPID: Generative 3D Reconstruction via Joint Object and Pose Modeling CVPR 2026 Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents ACL 2026 Decomposing Ensemble Spread in Lorenz ’96 with Learned Stochastic Parameterizations UAI 2026 Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems UAI 2026 Detecting Non-Membership in LLM Training Data via Rank Correlations EACL 2026 Differentiable Filtering for Learning Hidden Markov Models L4DC 2026 Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention CLeaR 2026 Distributional Deep Gaussian Processes UAI 2026 Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment AAAI 2026 Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems L4DC 2026 Efficient State and Parameter Estimation of Nonlinear State-Space Models through Probabilistic Optimal Control L4DC 2026 Elucidating the SNR-t Bias of Diffusion Probabilistic Models CVPR 2026 Enhancing Accuracy of Uncertainty Estimation in Appearance-based Gaze Tracking with Probabilistic Evaluation and Calibration CVPR 2026 Estimating PATE under positivity violations: SBART+SPL for high-dimensional covariates CLeaR 2026